{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # MLP example using PySNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import torch\n",
    "from torch.utils.data import DataLoader\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "from torchvision import transforms\n",
    "from tqdm import tqdm\n",
    "\n",
    "from pysnn.connection import Linear\n",
    "from pysnn.neuron import LIFNeuron, Input\n",
    "from pysnn.learning import MSTDPET\n",
    "from pysnn.encoding import PoissonEncoder\n",
    "from pysnn.network import SNNNetwork\n",
    "from pysnn.datasets import AND, BooleanNoise, Intensity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Parameter defintions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Architecture\n",
    "n_in = 10\n",
    "n_hidden = 5\n",
    "n_out = 1\n",
    "\n",
    "# Data\n",
    "duration = 200\n",
    "intensity = 50\n",
    "num_workers = 0\n",
    "batch_size = 1\n",
    "\n",
    "# Neuronal Dynamics\n",
    "thresh = 1.0\n",
    "v_rest = 0\n",
    "alpha_v = 10\n",
    "tau_v = 10\n",
    "alpha_t = 10\n",
    "tau_t = 10\n",
    "duration_refrac = 2\n",
    "dt = 1\n",
    "delay = 2\n",
    "i_dynamics = (dt, alpha_t, tau_t, \"exponential\")\n",
    "n_dynamics = (thresh, v_rest, alpha_v, alpha_v, dt, duration_refrac, tau_v, tau_t, \"exponential\")\n",
    "c_dynamics = (batch_size, dt, delay)\n",
    "\n",
    "# Learning\n",
    "epochs = 100\n",
    "lr = 0.1\n",
    "w_init = 0.8\n",
    "a = 0.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Network definition\n",
    " The API is mostly the same as for regular PyTorch. The main differences are that layers are composed of a `Neuron` and `Connection` type,\n",
    " and the layer has to be added to the network by calling the `add_layer` method. Lastly, all objects return both a\n",
    " spike (or activation potential) object and a trace object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Network(SNNNetwork):\n",
    "    def __init__(self):\n",
    "        super(Network, self).__init__()\n",
    "\n",
    "        # Input\n",
    "        self.input = Input((batch_size, 1, n_in), *i_dynamics)\n",
    "\n",
    "        # Layer 1\n",
    "        self.mlp1_c = Linear(n_in, n_hidden, *c_dynamics)\n",
    "        self.mlp1_c.reset_weights(distribution=\"uniform\")  # initialize uniform between 0 and 1\n",
    "        self.neuron1 = LIFNeuron((batch_size, 1, n_hidden), *n_dynamics)\n",
    "        self.add_layer(\"fc1\", self.mlp1_c, self.neuron1)\n",
    "\n",
    "        # Layer 2\n",
    "        self.mlp2_c = Linear(n_hidden, n_out, *c_dynamics)\n",
    "        self.mlp2_c.reset_weights(distribution=\"uniform\")\n",
    "        self.neuron2 = LIFNeuron((batch_size, 1, n_out), *n_dynamics)\n",
    "        self.add_layer(\"fc2\", self.mlp2_c, self.neuron2)\n",
    "\n",
    "    def forward(self, input):\n",
    "        x, t = self.input(input)\n",
    "\n",
    "        # Layer 1\n",
    "        x, _ = self.mlp1_c(x, t)\n",
    "        x, t = self.neuron1(x)\n",
    "\n",
    "        # Layer out\n",
    "        x, _ = self.mlp2_c(x, t)\n",
    "        x, t = self.neuron2(x)\n",
    "\n",
    "        return x, t"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ## Dataset\n",
    " Simple Boolean AND dataset, generated to match the input dimensions of the network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transform = transforms.Compose(\n",
    "    [\n",
    "        # BooleanNoise(0.2, 0.8),\n",
    "        Intensity(intensity)\n",
    "    ]\n",
    ")\n",
    "lbl_transform = transforms.Lambda(lambda x: x * intensity)\n",
    "\n",
    "train_dataset = AND(\n",
    "    data_encoder=PoissonEncoder(duration, dt),\n",
    "    data_transform=data_transform,\n",
    "    lbl_transform=lbl_transform,\n",
    "    repeats=n_in / 2,\n",
    ")\n",
    "train_dataloader = DataLoader(\n",
    "    train_dataset, batch_size=batch_size, shuffle=False, num_workers=num_workers\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize input samples\n",
    "_, axes = plt.subplots(1, 4, sharey=True, figsize=(25, 8))\n",
    "for s in range(len(train_dataset)):\n",
    "    sample = train_dataset[s][0]  # Drop label\n",
    "    sample = sample.sum(-1).numpy()  # Total spike by summing over time dimension\n",
    "    sample = np.squeeze(sample)\n",
    "    axes[s].bar(range(len(sample)), sample)\n",
    "    axes[s].set_ylabel(\"Total number of spikes\")\n",
    "    axes[s].set_xlabel(\"Input neuron\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": "100%|██████████| 100/100 [01:00<00:00,  1.66it/s]\n"
    }
   ],
   "source": [
    "device = torch.device(\"cpu\")\n",
    "net = Network()\n",
    "\n",
    "# Learning rule definition\n",
    "layers = net.layer_state_dict()\n",
    "learning_rule = MSTDPET(layers, 1, 1, lr, np.exp(-1/10))\n",
    "\n",
    "# Training loop\n",
    "for _ in tqdm(range(epochs)):\n",
    "    for batch in train_dataloader:\n",
    "        sample, label = batch\n",
    "\n",
    "        # Iterate over input's time dimension\n",
    "        for idx in range(sample.shape[-1]):\n",
    "            input = sample[:, :, :, idx]\n",
    "            spike_net, _ = net(input)\n",
    "            \n",
    "            # Determine reward, provide reward of 1 for desired behaviour, 0 otherwise.\n",
    "            # For positive samples (simulating an AND gate) spike as often as possible, for negative samples spike as little as possible.\n",
    "            if spike_net.long().view(-1) == label:\n",
    "                reward = 1\n",
    "            else:\n",
    "                reward = 0\n",
    "\n",
    "            # Perform a single step of the learning rule\n",
    "            learning_rule.step(reward)\n",
    "\n",
    "        # Reset network state (e.g. voltage, trace, spikes)\n",
    "        net.reset_state()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Generate Data for Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_spikes = []\n",
    "out_voltage = []\n",
    "out_trace = []\n",
    "\n",
    "for batch in train_dataloader:\n",
    "    single_out_s = []\n",
    "    single_out_v = []\n",
    "    single_out_t = []\n",
    "    sample, _ = batch\n",
    "\n",
    "    # Iterate over input's time dimension\n",
    "    for idx in range(sample.shape[-1]):\n",
    "        input = sample[:, :, :, idx]\n",
    "        spike_net, trace_net = net(input)\n",
    "\n",
    "        # Single timestep results logging\n",
    "        single_out_s.append(spike_net.clone())\n",
    "        single_out_t.append(trace_net.clone())\n",
    "        single_out_v.append(net.neuron2.v_cell.clone())  # Clone the voltage to make a copy of the value instead of using a pointer to memory\n",
    "\n",
    "    # Store batch results\n",
    "    out_spikes.append(torch.stack(single_out_s, dim=-1).view(-1))\n",
    "    out_voltage.append(torch.stack(single_out_v, dim=-1).view(-1))\n",
    "    out_trace.append(torch.stack(single_out_t, dim=-1).view(-1))\n",
    "\n",
    "    # Reset network state (e.g. voltage, trace, spikes)\n",
    "    net.reset_state()"
   ]
  },
  {
   "cell_type": "markdown",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Visualize output neuron state over time\n",
    "\n",
    "In the voltage plots the peaks never reach the voltage of 1, this is because the network has already reset the voltage of the spiking neurons during the forward pass. Thus it is not possible to register the exact voltage surpassing the threshold."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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    "_, axes = plt.subplots(3, 4, sharey=\"row\", figsize=(25, 12))\n",
    "\n",
    "# Process every sample separately\n",
    "for s in range(len(out_spikes)):\n",
    "    ax_col = axes[:, s]\n",
    "    spikes = out_spikes[s]\n",
    "    voltage = out_voltage[s]\n",
    "    trace = out_trace[s]\n",
    "    data_combined = [spikes, trace, voltage]\n",
    "    names = [\"Spikes\", \"Trace\", \"Voltage\"]\n",
    "\n",
    "    # Set column titles\n",
    "    ax_col[0].set_title(f\"Sample {s}\")\n",
    "    \n",
    "    # Plot all states\n",
    "    for ax, data, name in zip(ax_col, data_combined, names):\n",
    "        ax.plot(data, label=name)\n",
    "        ax.legend()"
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